A dual hierarchical RL framework with two agents coordinates high-level dialogue strategy and low-level question generation to emulate judicial questioning and extract key information from Supreme Court arguments, outperforming baselines.
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An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.
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Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents
A dual hierarchical RL framework with two agents coordinates high-level dialogue strategy and low-level question generation to emulate judicial questioning and extract key information from Supreme Court arguments, outperforming baselines.
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How can LLMs Support Policy Researchers? Evaluating an LLM-Assisted Workflow for Large-Scale Unstructured Data
An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.